You can check which BLAS library is used by NumPy by calling numpy.show_config(). In this tutorial, you will discover how to check which BLAS …
Continue Reading about Check BLAS Library Installed For NumPy →
Tutorials on concurrency and parallelism with NumPy.
You can check which BLAS library is used by NumPy by calling numpy.show_config(). In this tutorial, you will discover how to check which BLAS …
Continue Reading about Check BLAS Library Installed For NumPy →
You can install a BLAS library when installing NumPy. In this tutorial, you will discover how to install NumPy with a BLAS library in …
Continue Reading about How to Install BLAS Libraries for NumPy →
You can use one of many open-source and proprietary BLAS/LAPACK libraries to accelerate vector and matrix operations in NumPy. In this tutorial, …
NumPy makes use of BLAS and LAPACK libraries to execute linear algebra functions with vectors and matrices efficiently, allowing NumPy to make the …
Don't put up with slow NumPy!
Your NumPy tasks could be so much faster if you used modern concurrency techniques.
Introducing: "Concurrent NumPy in Python".
A new book designed to teach you Concurrent NumPy step-by-step, super fast!